A confusion matrix is a table used to evaluate the performance of a classification model. It is used to measure the accuracy of a model by comparing the predicted values with the actual values. Using ...

This project aimed to predict the likelihood of a person having diabetes based on several clinical variables. The dataset used in this project contained information on 768 patients and their diabetes ...